Affiliated with the
Communication & Space
Sciences Laboratory

Nature Inspired Antenna Design

Clonal Selection Algorithm

..: References :..

1 -) A Real-Valued Parallel Clonal Selection Algorithm and Its Application to the Design Optimization of Multi-Layered Frequency Selective Surfaces
by Zikri Bayraktar, Jeremy A. Bossard, Xiande Wang, and Douglas H. Werner
IEEE Transactions on Antennas and Propagation, Vol. 60, No. 4, pp. 1831 - 1843, April 2012.

ABSTRACT: A parallelized real-valued clonal selection algorithm (CLONALG) is successfully implemented in this paper utilizing message passing interface (MPI) to reduce the computational burden of a large clone pool. CLONALG is one of the many branches of Artificial Immune System (AIS) algorithms with unique inherent properties that make it a very efficient optimization techniques for multimodal problems such as the ones commonly encountered in computational electromagnetic design. As a demonstration of its effectiveness, a numerical study is carried out with known benchmark functions along with the optimization of multi-layered frequency selective surface (FSS) filters in the X-band. Our results show that the CLONALG can consistently outperform a standard GA implementation particularly in multi-modal optimization problems.

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